首页> 外文期刊>Meteorology and Atmospheric Physics >Long-term investigations on the water budget quantities predicted by the hydro-thermodynamic soil vegetation scheme (HTSVS) - Part I: Description of the model and impact of long-wave radiation, roots, snow, and soil frost
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Long-term investigations on the water budget quantities predicted by the hydro-thermodynamic soil vegetation scheme (HTSVS) - Part I: Description of the model and impact of long-wave radiation, roots, snow, and soil frost

机译:水热力土壤植被计划(HTSVS)预测的水预算量的长期研究-第一部分:长波辐射,根,雪和土壤霜的模型及其影响的描述

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摘要

An earlier version of HTSVS was further developed to numerically investigate the long-term evolution of water budget elements (water supply to the atmosphere, ground water recharge, change in storage) in climate studies. In doing so, parameterizations of root effects, infiltration, soil frost, and snow insulation were included into HTSVS to predict these water budget elements for a period of 2050 days continuously covered by routine data of a lysimeter and a climate station. The results of simulations without and with inclusion of the new parameterizations as well as various sensitivity studies indicate that the insulating effect of a snow-pack, soil water freezing as well as the Dufourand Ludwig-Soret-effects play a notable role on the longterm water budget and soil temperature evolution. Including frost effects yields improved soil temperature predictions. Snow density and. hence, snow depth play a key role for the prediction of soil temperature, freezing and the water supply to the atmosphere,but hardly affect deep soil water fluxes like recharge in the long-term sum. The results also show that the kind of vertical root distribution can be important for predicting water budgets. Based on these results we conclude that land surface models considered for long-term integration purposes require parameterizations of soil frost, snow and water uptake by roots to appropriately catch the broad cycle of soil water budget elements.
机译:进一步开发了HTSVS的早期版本,以数字方式研究气候研究中水预算要素(向大气供应水,地下水补给,存储变化)的长期演变。这样做,将根效应,入渗,土壤霜冻和雪绝缘的参数化包括在HTSVS中,以预测2050天期间的水分预算要素,这些数据被溶渗仪和气候站的常规数据连续覆盖。不包含和包含新参数设置的模拟结果以及各种敏感性研究表明,积雪,土壤水冻结以及Dufourand Ludwig-Soret效应的绝热作用对长期水具有显著作用。预算和土壤温度演变。包括霜冻影响,可以改善土壤温度的预测。雪密度和。因此,积雪深度在预测土壤温度,结冰和向大气中供水方面起着关键作用,但从长期的角度来看,它几乎不影响深层土壤通量,例如补给。结果还表明,垂直根分布的类型对于预测水量预算很重要。根据这些结果,我们得出结论,为长期综合考虑而考虑的地表模型需要对根部的土壤霜冻,积雪和水分吸收进行参数化,以适当地捕获土壤水分收支要素的广泛周期。

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